title: A theoretical framework for biological control of soil-borne plant pathogens: Identifying effective strategies.
abstract: We develop and analyse a flexible compartmental model of the interaction between a plant host, a soil-borne pathogen and a microbial antagonist, for use in optimising biological control. By extracting invasion and persistence thresholds of host, pathogen and biological control agent, performing an equilibrium analysis, and numerical investigation of sensitivity to parameters and initial conditions, we determine criteria for successful biological control. We identify conditions for biological control (i) to prevent a pathogen entering a system, (ii) to eradicate a pathogen that is already present and, if that is not possible, (iii) to reduce the density of the pathogen. Control depends upon the epidemiology of the pathogen and how efficiently the antagonist can colonise particular habitats (i.e. healthy tissue, infected tissue and/or soil-borne inoculum). A sharp transition between totally effective control (i.e. eradication of the pathogen) and totally ineffective control can follow slight changes in biologically interpretable parameters or to the initial amounts of pathogen and biological control agent present. Effective biological control requires careful matching of antagonists to pathosystems. For preventative/eradicative control, antagonists must colonise susceptible hosts. However, for reduction in disease prevalence, the range of habitat is less important than the antagonist's bulking-up efficiency.
authors.affiliation: Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB23EA, United Kingdom. njc1001@cam.ac.uk
authors.forename: Nik J
authors.initials: NJ
authors.lastname: Cunniffe
authors.forename: Christopher A
authors.initials: CA
authors.lastname: Gilligan
mesh_terms: D017753:Ecosystem; D054884:Host-Pathogen Interactions; D058865:Introduced Species; D008954:Models, Biological; D010572:Pest Control, Biological / Q000379:methods*; D010935:Plant Diseases / Q000382:microbiology / Q000517:prevention & control / Q000706:statistics & numerical data; D010944:Plants / Q000382:microbiology*; D012988:Soil Microbiology